• Title/Summary/Keyword: 규칙의 커플링

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A Fuzzy-Rough Classification Method to Minimize the Coupling Problem of Rules (규칙의 커플링문제를 최소화하기 위한 퍼지-러프 분류방법)

  • Son, Chang-S.;Chung, Hwan-M.;Seo, Suk-T.;Kwon, Soon-H.
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.4
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    • pp.460-465
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    • 2007
  • In this paper, we propose a novel pattern classification method based on statistical properties of the given data and fuzzy-rough set to minimize the coupling problem of the rules. In the proposed method, statistical properties is used by a selection criteria for deciding a partition number of antecedent fuzzy sets, and for minimizing an coupling problem of the generated rules. Moreover, rough set is used as a tool to remove unnecessary attributes between generated rules from the numerical data. In order to verify the validity of the proposed method, we compared the classification results (i.e, classification precision) of the proposed with the conventional pattern classification methods on the Fisher's IRIS data. From experiment results, we can conclude that the proposed method shows relatively better performance than those of the classification methods based on the conventional approaches.

Selection Method of Fuzzy Partitions in Fuzzy Rule-Based Classification Systems (퍼지 규칙기반 분류시스템에서 퍼지 분할의 선택방법)

  • Son, Chang-S.;Chung, Hwan-M.;Kwon, Soon-H.
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.3
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    • pp.360-366
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    • 2008
  • The initial fuzzy partitions in fuzzy rule-based classification systems are determined by considering the domain region of each attribute with the given data, and the optimal classification boundaries within the fuzzy partitions can be discovered by tuning their parameters using various learning processes such as neural network, genetic algorithm, and so on. In this paper, we propose a selection method for fuzzy partition based on statistical information to maximize the performance of pattern classification without learning processes where statistical information is used to extract the uncertainty regions (i.e., the regions which the classification boundaries in pattern classification problems are determined) in each input attribute from the numerical data. Moreover the methods for extracting the candidate rules which are associated with the partition intervals generated by statistical information and for minimizing the coupling problem between the candidate rules are additionally discussed. In order to show the effectiveness of the proposed method, we compared the classification accuracy of the proposed with those of conventional methods on the IRIS and New Thyroid Cancer data. From experimental results, we can confirm the fact that the proposed method only considering statistical information of the numerical patterns provides equal to or better classification accuracy than that of the conventional methods.

Switching Element Disjoint Multicast Scheduling for Avoiding Crosstalk in Photonic Banyan-Type Switching Networks(Part I):Graph Theoretic Analysis of Crosstalk Relationship (광 베니언-형 교환 망에서의 누화를 회피하기 위한 교환소자를 달리하는 멀티캐스트 스케줄링(제1부):누화 관계의 그래프 이론적 분석)

  • Tscha, Yeong-Hwan
    • Journal of KIISE:Information Networking
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    • v.28 no.3
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    • pp.447-453
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    • 2001
  • In this paper, we consider the scheduling of SE(switching element)-disjoint multicasting in photonic Banyan-type switching networks constructed with directional couplers. This ensures that at most, one connection holds each SE in a given time thus, neither crosstalk nor blocking will arise in the network. Such multicasting usually takes several routing rounds hence, it is desirable to keep the number of rounds(i.e., scheduling length) to a minimum. We first present the necessary and sufficient condition for connections to pass through a common SE(i.e., make crosstalk) in the photonic Banyan-type networks capable of supporting one-to-many connections. With definition of uniquely splitting a multicast connection into distinct subconnections, the crosstalk relationship of a set of connections is represented by a graph model. In order to analyze the worst case crosstalk we characterize the upper bound on the degree of the graph. The successor paper(Part II)[14] is devoted to the scheduling algorithm and the upper bound on the scheduling length. Comparison with related results is made in detail.

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Institutional Changes and Path Dependence to Private Parks - Focused on the Urban Park-Related Laws from 1967~2005 - (민간공원 관련 제도의 변천과 경로의존성 - 1967년부터 2005년까지 도시공원 법령을 중심으로 -)

  • Oh, Chang-Song
    • Journal of the Korean Institute of Landscape Architecture
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    • v.47 no.2
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    • pp.133-145
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    • 2019
  • This study was raised by the need to explain why the problems related to private parks have been sustained. In order to identify the fundamental cause, it is necessary to analyze the historical and institutional context of private parks. Therefore, the purpose of this study is to identify the direction of change in the private park system and to derive the characteristics of the system as it currently appears. The framework based on the historical institutionalism was divided into the Park Act (1967-1980), the former of Urban Park Act (1980-1993) and the late of Urban Park Act (1993-2005), and each was assessed using the analysis elements of the institutional environment and the outcomes of implementation. The analysis elements interpreted the path dependency, in which the inertia toward the choice of institution is maintained, despite the change in the environment. The institution took a special form of 'negative systeme' and secured profitability by expanding the types of park facilities while mitigating the criteria. Additionally, the designation of private park promoters as a landowner acted as a means of compensating those with property rights to unexecuted urban parks. The expectation effectiveness on urban park creation was insufficient and the environmental regulatory functions were weakened. Thus, historically, the private park system in Korea has experienced an 'institutional decoupling' as the purpose of the system and the results of actual outcomes are not consistent.